This dataset reflects spatial distribution of nutrients load and load of selected hazardous substances on the Baltic Sea from land based sources. The data, obtained through national monitoring programmes in 2014, were reported by Contracting Parties to HELCOM in the frame of HELCOM PLC-6 project and collected in the HELCOM Pollution Load Compilation (PLC-water) database (http://apps.nest.su.se/helcom_plus/). The reporting was organized in accordance with the HELCOM Guidelines for the annual and periodical compilation and reporting of waterborne pollution inputs to the Baltic Sea (PLC-Water, http://www.helcom.fi/Lists/Publications/PLC-Water%20Guidelines.pdf). The dataset has been produced based on guidance by HELCOM PRESSURE and REDCORE Drafting Group. The dataset contains following attributes: Source code: unique code of the sub-catchment Name: sub-catchment name Sub-basin: Baltic Sea PLC sub-basin Country: country in the BS catchment area Lead input: lead input Report_data_Pb: reported data of lead Mercury input: mercury input Report_data_Hg: reported data of mercury Cadmium input: cadmium input Report_data_Cd: reported data of cadmium Length: perimeter of sub-catchment Area: sub-catchment area

This core indicator evaluates the status of the marine environment based on concentrations of the tributyltin (TBT) and its breakdown products dibutyltin (DBT) and monobutyltin (MBT) in the Baltic Sea; in water, biota (mussels, marine gastropods) and sediments. Imposex effects of TBT on marine gastropods are used as another source of data on TBT. Quantitative thresholds are used to classify core indicators status in "Achieve", "Fail" or "Not assessed". Good status is achieved when the concentrations of TBT are below the threshold value. This dataset displays the result of the indicator in HELCOM Assessment Scale 4 (Division of the Baltic Sea into 17 sub-basins and further division into coastal and off-shore areas and division of the coastal areas by WFD water types or water bodies). Attribute information: "OBJECTID" = Object identification "HELCOM ID" = Code of the HELCOM scale 4 assessment unit "Descriptio" = Description of the HELCOM scale 4 assessment unit "AULEVEL" = Assessment unit level used for the indicator "Contamination ratio in biota" = Contamination ratio in biota for this substance "Status in Biota" = Status of the indicator in biota (“Achieve”, “Fail” or “Not assessed”) "Contamination ratio in water" = Contamination ratio in water for this substance "Status in water" = Status of the indicator in water(“Achieve”, “Fail” or “Not assessed”) "Contamination ratio in sediment" = Contamination ratio in sediment for this substance "Status in sediments" = Status of the indicator in sediment (“Achieve”, “Fail” or “Not assessed”) "Overall Status" = Overall Status of the indicator according to one-out-all-out (“Achieve”, “Fail” or “Not assessed”)

This core indicator evaluates the state of the marine environment using distribution of the three species of seals that occur in the Baltic Sea. This dataset is for the Grey seal. Quantitative thresholds are used to evaluate if core indicators status is Good, Not good or Not assessed. The core indicator has three components for each species: distribution of haul-out sites, breeding sites and foraging areas. Good status is achieved when the distribution of seals is close to pristine conditions (e.g. 100 years ago), or where appropriate when currently available haul-out sites are occupied (modern baseline), and when no decrease in area of occupation occurs. The current evaluation covers the assessment period 2011-2015. This dataset displays the result of the indicator in HELCOM Assessment Scale 2 (Division of the Baltic Sea into 17 sub-basins). Attribute information: “SB_Code” = Code of the Helcom subbasin "Name" = Name of the Helcom scale 2 assessment unit "AREAKM2" = Area of the Helcom scale 2 assessment unit HELCOM_ID = Helcom id of the Helcom scale 2 assessment unit Status = Status of the indicator (“Good”, “Not good” or “Not assessed”)

This core indicator evaluates the status of the marine environment based on the presence of hazardous substances in the bottom sediments. The rate of embryo malformations indicates reproductive toxicity due to the presence of hazardous substances in the bottom sediments. The threshold value has not been achieved on all stations within each basin indicating that toxic effects of contaminants may be present. The variability of the malformation rate is much greater within a basin than between the Bothnian Sea and the Baltic proper. This dataset displays the result of the indicator in HELCOM Assessment Scale 2 (Division of the Baltic Sea into 17 sub-basins). Attribute information: "HELCOM_ID" = Code of the HELCOM scale 4 assessment unit "level_2" = name of subbasin "Area (km2)" = Area of the HELCOM scale 2 assessment unit "L2" = ID for the HELCOM scale 2 assessment unit "AULEVEL" = Assessment unit level used for the indicator "STATUS" = Status of the indicator (“Achieve”, “Fail”, "Not assessed" or “Not applicable”)

This core indicator evaluates the status of the marine environment based on concentrations of dioxin and dioxin like compounds in Baltic Sea fish, crustacean and molluscs as well as on concentrations of non-dioxin like PCB in Baltic Sea fish. Good status is achieved when the concentrations of PCB, dioxin and furan are below the threshold values. This dataset displays the result of the indicator in HELCOM Assessment Scale 4 (Division of the Baltic Sea into 17 sub-basins and further division into coastal and off-shore areas and division of the coastal areas by WFD water types or water bodies). Attribute information: “Code” = Code of the Helcom scale 4 assessment unit “Descriptio” = Description of assessment unit CR = Contamination ratio, 0 – 1= Status is “Good”, 1-99998= Status is “Not good”, 99998-99999= Status “Not assessed” Status = Status of the indicator (“Good”, “Not good” or “Not assessed”) Confidence = Confidence of the status

This dataset represents the underlying data on core indicator in Abundance of key coastal fish species data. The core indicator evaluates the abundance of typical species of fish, such as perch and flounder, in the coastal areas of the Baltic Sea, to assess environmental status. Quantitative thresholds are used to evaluate if core indicators status is Good, Not good or Not assessed. As a rule, good status is achieved when the abundance is above a set site and species-specific threshold value. This dataset displays the result of the indicator in HELCOM Assessment Scale 3 (Division of the Baltic Sea into 17 sub-basins and further division into coastal and offshore areas). Attribute information: COUNTRY = Country DATAPROVID = Data provider AREANAME = ICES area A_unit = Name of scale 3 Helcom assessment unit Ind_value = Result value for the indicator METHOD = Catch method GEARTYPE = Gear type of catch SEASONID = Id of the season

This dataset represents the underlying biota data on core indicator Heavy metals – Mercury.The core indicator evaluates the status of the marine environment based on concentrations of heavy metal Mercury (Hg) in fish muscle. Quantitative threshold value is used to evaluate if core indicators status is Good, Not good or Not assessed. Threshold values are based on Environmental quality standards (EQS), defined at EU level for substances included in the priority list under the Water Framework Directive. The Core indicator displays the result of the indicator in HELCOM Assessment Scale 4 (Division of the Baltic Sea into 17 sub-basins and further division into coastal and off-shore areas and division of the coastal areas by WFD water types or water bodies). Attribute information: Attributes: region = MIME subregion country = country station = Unique text that identifies the station stationNam = name for the station latitude = latitude coordinate of station longitude = longitude coordinate of station determinand = determinand detGroup = the grouping of determinands used to display the results species = species of measurment shape = shape used to map assessment results colour = colour used to map assessment results l4area = Helcom assessment unit MSTAT = Type of monitoring station WLTYP = Water and Land Station Type fileGroup = used to find the url of the graphs associated with the timeseries fileSuffix = used to find the url of the graphs associated with the timeseries filePrefix = used to find the url of the graphs associated with the timeseries nyall = total number of years of data nyfit = number of years of data used in the assessment nypos = number of years with at least one measurement above the limit of detection lastyear = most recent year of data pnonlin = the significance of the nonlinear component of the trend (if fitted) pltrend = the significance of the linear component of the trend (if fitted) ltrend = annual ‘linear’ change over the whole time series; for contaminants, this is the annual change in log-concentration multiplied by 100, which is approximately the annual percentage change in concentration prtrend = the significance of the change over the most recent 20 years; for the assessment conducted in November 2016 and published in June 2017, this is the period 1996-2015. rtrend = annual ‘linear’ change over the most recent 20 years dtrend = for contaminants, (approximately) the annual percentage change in concentration that will be detected with 90% power with ten years of annual monitoring meanLY = fitted value in last monitoring year clLY = upper one-sided 95% confidence limit on fitted value in last monitoring year HQS = Threshold value HQSdiff = difference between clLY and HQS HQSachieve = the year when the mean value is projected to be below the HQS, given current trends (with 3000 indicating it is a very long way off!) HQSbelow = whether the mean value in the last monitoring year is significantly below HQS class = imposex class

This core indicator evaluates the status of the marine environment based on the presence of hazardous substances in the bottom sediments. The rate of embryo malformations indicates reproductive toxicity due to the presence of hazardous substances in the bottom sediments. The threshold value has not been achieved on all stations within each basin indicating that toxic effects of contaminants may be present. The variability of the malformation rate is much greater within a basin than between the Bothnian Sea and the Baltic proper. This dataset displays the result of the indicator in HELCOM Assessment Scale 2 (Division of the Baltic Sea into 17 sub-basins). Attribute information: “SB_Code” = Code of the Helcom subbasin "Name" = Name of the Helcom scale 2 assessment unit "AREAKM2" = Area of the Helcom scale 2 assessment unit HELCOM_ID = Helcom id of the Helcom scale 2 assessment unit Status = Status of the indicator (“Good”, “Not good” or “Not assessed”)

This dataset represents the underlying data on core indicator Abundance of waterbirds in the wintering season. The core indicator evaluates the status of abundance of wintering waterbirds in the Baltic Sea region. The wintering waterbirds are considered to reflect good status when at least 75% of the considered species deviate less than 30% downwards (species laying more than one egg per year) or 20% downwards (species laying one egg per year) from the baseline condition during the reference period 1991-2000. This dataset displays the result of the indicator in HELCOM Assessment Scale 1 (Whole Baltic) by all species. Attribute information: Country = Country of observation SITECODE = Site unique code COORD_X = longitude coordinate of station COORD_Y = latitude coordinate of station HELCOMSUBB = Name of subbasin SPECIES_NA = Name of the species Year = Year of the observation ABUNDANCE = Abundance COMPLETENE = completeness REFERENCE = Reference of the observations Species list: CYGOL = Cygnus olor = Mute swan CYGCY = Cygnus cygnus = Whooper swan CYGCO = Cygnus columbianus = Tundra swan, Bewick's swan ANAPL = Anas platyrhynchos = Mallard, Common mallard, Northern mallard ANACR = Anas crecca = Common teal, Eurasian teal, Green-winged teal, Teal ANAAC = Anas acuta = Northern pintail, Pintail ANAPE = Anas penelope = Eurasian wigeon, European wigeon, Wigeon AYTFE = Aythya ferina = Common pochard, Northern pochard, Pochard AYTFU = Aythya fuligula = Tufted duck AYTMA = Aythya marila = Greater scaup, Scaup POLST = Polysticta stelleri = Steller's eider SOMMO = Somateria mollissima = Common eider, Eider SOMSP = Somateria spectabilis = King eider CLAHY = Clangula hyemalis = Long-tailed duck MELNI = Melanitta nigra = Black scoter, Common scoter MELFU = Melanitta fusca = Velvet scoter BUCCL = Bucephala clangula = Common goldeneye, Goldeneye MERAL = Mergellus albellus = Smew MERME = Mergus merganser = Goosander MERSE = Mergus serrator = Red-breasted merganser PODCR = Podiceps cristatus = Great crested grebe PODGR = Podiceps grisegena = Red-necked grebe PODAU = Podiceps auritus = Horned grebe, Slavonian grebe GAVST = Gavia stellata = Red-throated loon, Red-throated diver GAVAR = Gavia arctica = Arctic loon, Black-throated diver, Black-throated loon PHACA = Phalacrocorax carbo = Great cormorant, Black shag, cormorant, White-breasted cormorant FULAT = Fulica atra = Common coot, Coot, Eurasian coot, European coot LARMA = Larus marinus = Great black-backed gull, Greater black-backed gull LARAR = Larus argentatus = European herring gull LARFU = Larus fuscus = Lesser black-backed gull LARCA = Larus canus = Common gull, Mew gull LARRI = Larus ridibundus = Black-headed gull, Common black-headed gull LARMI = Larus minutus = Little gull

This dataset represents the underlying biota data on core indicator Heavy metals – Lead.The core indicator evaluates the status of the marine environment based on concentrations of heavy metal Lead (Pb) in water, fish liver and sediments. Quantitative thresholds are used to evaluate if core indicators status is Good, Not good or Not assessed. Threshold values are based on Environmental quality standards (EQS), defined at EU level for substances included in the priority list under the Water Framework Directive. The Core indicator displays the result of the indicator in HELCOM Assessment Scale 4 (Division of the Baltic Sea into 17 sub-basins and further division into coastal and off-shore areas and division of the coastal areas by WFD water types or water bodies). Attributes: region = MIME subregion country = country station = Unique text that identifies the station stationNam = name for the station latitude = latitude coordinate of station longitude = longitude coordinate of station determinand = determinand detGroup = the grouping of determinands used to display the results species = species of measurment shape = shape used to map assessment results colour = colour used to map assessment results l4area = Helcom assessment unit MSTAT = Type of monitoring station WLTYP = Water and Land Station Type fileGroup = used to find the url of the graphs associated with the timeseries fileSuffix = used to find the url of the graphs associated with the timeseries filePrefix = used to find the url of the graphs associated with the timeseries nyall = total number of years of data nyfit = number of years of data used in the assessment nypos = number of years with at least one measurement above the limit of detection lastyear = most recent year of data pnonlin = the significance of the nonlinear component of the trend (if fitted) pltrend = the significance of the linear component of the trend (if fitted) ltrend = annual ‘linear’ change over the whole time series; for contaminants, this is the annual change in log-concentration multiplied by 100, which is approximately the annual percentage change in concentration prtrend = the significance of the change over the most recent 20 years; for the assessment conducted in November 2016 and published in June 2017, this is the period 1996-2015. rtrend = annual ‘linear’ change over the most recent 20 years dtrend = for contaminants, (approximately) the annual percentage change in concentration that will be detected with 90% power with ten years of annual monitoring meanLY = fitted value in last monitoring year clLY = upper one-sided 95% confidence limit on fitted value in last monitoring year HQS = Threshold value HQSdiff = difference between clLY and HQS HQSachieve = the year when the mean value is projected to be below the HQS, given current trends (with 3000 indicating it is a very long way off!) HQSbelow = whether the mean value in the last monitoring year is significantly below HQS class = imposex class